Stealing Machine Learning Models via Prediction APIs

9 September 2016

Papers citing "Stealing Machine Learning Models via Prediction APIs"

50 / 351 papers shown

Title
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants Lingchen Zhao Qian Wang Qin Zou Yan Zhang Yanjiao Chen FedML 21 9 0 25 Dec 2018
Achieving Data Truthfulness and Privacy Preservation in Data Markets Chaoyue Niu Zhenzhe Zheng Fan Wu Xiaofeng Gao Guihai Chen 11 44 0 08 Dec 2018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 13 244 0 03 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 136 186 0 02 Dec 2018
MOBIUS: Model-Oblivious Binarized Neural Networks Hiromasa Kitai Jason Paul Cruz Naoto Yanai Naohisa Nishida Tatsumi Oba Yuji Unagami Tadanori Teruya Nuttapong Attrapadung Takahiro Matsuda Goichiro Hanaoka 24 7 0 29 Nov 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 32 198 0 25 Nov 2018
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions Shaohua Li Kaiping Xue Chenkai Ding Xindi Gao David S. L. Wei Tao Wan F. Wu 30 68 0 20 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 33 179 0 08 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 29 64 0 08 Nov 2018
Exploring Connections Between Active Learning and Model Extraction Varun Chandrasekaran Kamalika Chaudhuri Irene Giacomelli Shane Walker Songbai Yan MIACV 16 157 0 05 Nov 2018
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls Guofu Li Y. Sagduyu Kemal Davaslioglu Jason H. Li AAML 21 31 0 05 Nov 2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks Faiq Khalid Hassan Ali Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML MQ 35 37 0 04 Nov 2018
What made you do this? Understanding black-box decisions with sufficient input subsets Brandon Carter Jonas W. Mueller Siddhartha Jain David K Gifford FAtt 42 77 0 09 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks Sanghyun Hong Michael Davinroy Yigitcan Kaya S. Locke Ian Rackow Kevin Kulda Dana Dachman-Soled Tudor Dumitras MIACV 25 90 0 08 Oct 2018
Explainable Black-Box Attacks Against Model-based Authentication Washington Garcia Joseph I. Choi S. K. Adari S. Jha Kevin R. B. Butler 26 10 0 28 Sep 2018
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 45 539 0 18 Sep 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 19 11 0 08 Sep 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 33 288 0 16 Aug 2018
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures Mengjia Yan Christopher W. Fletcher Josep Torrellas MIACV FedML 37 246 0 14 Aug 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L. Hanzlik Yang Zhang Kathrin Grosse A. Salem Maximilian Augustin Michael Backes Mario Fritz OffRL 24 103 0 01 Aug 2018
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 21 177 0 13 Jul 2018
Confidential Inference via Ternary Model Partitioning Zhongshu Gu Heqing Huang Jialong Zhang D. Su Hani Jamjoom Ankita Lamba Dimitrios E. Pendarakis Ian Molloy 21 53 0 03 Jul 2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 30 174 0 14 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 28 149 0 08 Jun 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 65 929 0 04 Jun 2018
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations Taesung Lee Ben Edwards Ian Molloy D. Su AAML 20 40 0 31 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 359 37 0 15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 93 1,457 0 10 May 2018
Semantic Adversarial Deep Learning S. Seshia S. Jha T. Dreossi AAML SILM 27 90 0 19 Apr 2018
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution Raymond Cheng Fan Zhang Jernej Kos Warren He Nicholas Hynes Noah M. Johnson Ari Juels Andrew K. Miller D. Song 33 365 0 14 Apr 2018
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks Tegjyot Singh Sethi M. Kantardzic J. Ryu AAML 23 11 0 24 Mar 2018
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning Tegjyot Singh Sethi M. Kantardzic Lingyu Lyu Jiashun Chen AAML 16 11 0 24 Mar 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 46 287 0 19 Mar 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 52 607 0 24 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 89 1,120 0 22 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 34 389 0 22 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 37 233 0 18 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 63 458 0 14 Feb 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 40 1,391 0 08 Dec 2017
Hardening Quantum Machine Learning Against Adversaries N. Wiebe Ramnath Kumar AAML 25 20 0 17 Nov 2017
Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Maximilian Augustin Bernt Schiele Mario Fritz AAML 292 3 0 06 Nov 2017
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 33 748 0 09 Jun 2017
Adversarial Learning: A Critical Review and Active Learning Study David J. Miller Xinyi Hu Zhicong Qiu G. Kesidis AAML 11 23 0 27 May 2017
Evading Classifiers by Morphing in the Dark Hung Dang Yue Huang E. Chang AAML 34 121 0 22 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 97 2,704 0 19 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 48 1,354 0 18 May 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 41 555 0 11 Apr 2017
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains Tegjyot Singh Sethi M. Kantardzic AAML 27 49 0 23 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 63 1,380 0 24 Feb 2017